Archivio Istituzionale della RicercaThe paper deals with the general presentation of the Urban GEO BIG DATA, a collaborative acentric and distributed Free and Open Source (FOS) platform consisting of several components: local data nodes for data and related service Web deploy; a visualization node for data fruition; a catalog node for data discovery; a CityGML modeler; data-rich viewers based on virtual globes; an INSPIRE metadata management system enriched with quality indicators for each dataset.Three use cases in five Italian cities (Turin, Milan, Padua, Rome, and Naples) are examined: 1) urban mobility; 2) land cover and soil consumption at different resolutions; 3) displacement time series. Besides the case studies, the architecture of the system and its components will be presented.
URBAN GEO BIG DATA / Brovelli, M. A.; Boccardo, P.; Bordogna, G.; Pepe, A.; Crespi, M.; Munafo, M.; Pirotti, F.. - In: INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES. - ISSN 1682-1750. - 42:(2019), pp. 23-30. (Intervento presentato al convegno 2019 Free and Open Source Software for Geospatial, FOSS4G 2019 tenutosi a rou nel 2019) [10.5194/isprs-archives-XLII-4-W14-23-2019].
URBAN GEO BIG DATA
Brovelli M. A.;Boccardo P.;Pepe A.;Crespi M.;
2019
Abstract
The paper deals with the general presentation of the Urban GEO BIG DATA, a collaborative acentric and distributed Free and Open Source (FOS) platform consisting of several components: local data nodes for data and related service Web deploy; a visualization node for data fruition; a catalog node for data discovery; a CityGML modeler; data-rich viewers based on virtual globes; an INSPIRE metadata management system enriched with quality indicators for each dataset.Three use cases in five Italian cities (Turin, Milan, Padua, Rome, and Naples) are examined: 1) urban mobility; 2) land cover and soil consumption at different resolutions; 3) displacement time series. Besides the case studies, the architecture of the system and its components will be presented.
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https://hdl.handle.net/11583/2915456